Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Attackers, after an initial compromise, look to remain inside a network for as long as possible. For this, they use different methods. Beaconing is one of the common techniques used to maintain this access. Beaconing activity can easily blend into normal traffic and can remain unnoticed for long periods. Therefore, it is important for IT and security teams to understand how beaconing works in order to effectively carry out beaconing detection and response.

Why security-first platforms, outcome-based services and value-driven pricing will define software delivery in an increasingly complex AI-world.

According to the State of Application Security 2025, web applications faced a sharp rise in hostile traffic, with 4.8 billion attacks blocked and 1.52 billion DDoS incidents affecting nearly 70% of monitored applications. APIs became the primary target, seeing 388% more DDoS attacks per host than websites, signaling a shift toward precision, application-layer disruption.

Globally, schools and universities now face over 4,300 cyberattacks per week on average, marking a 40% year-over-year increase and making the education sector a prime target for disruptive DDoS attacks. Most educational institutions operate with lean IT teams responsible for infrastructure, user support, and security. This resource constraint makes it difficult to withstand prolonged or application-layer DDoS attacks that can quickly disrupt learning platforms and administrative systems.

This growing exposure is reflected in real-world threat data. The Huntress 2025 Cyber Threat Report found that the education sector accounted for 21% of all cyber incidents observed last year, underscoring how frequently schools and universities are targeted. The report also highlights a strong presence of automated and data-driven attacks, with malicious scripts making up 24% of education-focused threats, followed by infostealers (16%), malware (13%), and ransomware (7%).

Most people know the old fairy tale of the boy who cried wolf. Every day, the little shepherd would scream from the top of his hill, “A wolf is chasing the sheep!” While villagers initially responded to the alarm, they soon realized that the boy was lying to them. In the end, when a wolf truly did chase the sheep, no one heeded the boy’s cry.

CVE-2025-14847, nicknamed MongoBleed, is a high-severity (CVSS 7.5–8.7) unauthenticated information disclosure vulnerability in MongoDB Server. It allows remote attackers to leak uninitialized heap memory containing sensitive data—such as credentials, API keys, session tokens, and PII—without authentication. Exploitation occurs pre-authentication via malformed zlib-compressed network packets on port 27017.